Introduction to Geophysical Imaging
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As we have seen from the preceeding chapters, it has become widely accepted that straightforward gas-hydrate assessment remains an outstanding issue. Researchers no longer attempt to gauge marine gas-hydrate concentrations from seismic reflectivity maps of the bottom-simulating reflections (BSRs), and rarely can a land-based equivalent to a marine BSR be clearly identified because of the geologic complexity of the permafrost gas-hydrate environment. In fact, there is increasing evidence that gas-hydrate deposits in the marine environment are very heterogeneous in nature, especially from the last major scientific drilling expeditions (e.g., Integrated Ocean Drilling Program Expedition 311, Riedel et al., 2006; India National Gas Hydrate Expedition 01, Collett et al., 2008). Considerable strides have been made to develop more sophisticated geophysical experimental methodologies, inversions, and gas-hydrate assessment methods. The need to employ other geophysical imaging techniques has become more and more evident.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it